<!DOCTYPE html>
<html lang="en">
    <head>
        <meta charset="utf-8">
        <meta http-equiv="X-UA-Compatible" content="IE=edge">
        <meta name="viewport" content="width=device-width, initial-scale=1">
        <!-- The above 3 meta tags *must* come first in the head; any other head content must come *after* these tags -->
        <title>info.debatty.jinu.Case</title>
        <link rel='stylesheet' href='https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css' integrity='sha384-BVYiiSIFeK1dGmJRAkycuHAHRg32OmUcww7on3RYdg4Va+PmSTsz/K68vbdEjh4u' crossorigin='anonymous'>
        <link rel='stylesheet' href='https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap-theme.min.css' integrity='sha384-rHyoN1iRsVXV4nD0JutlnGaslCJuC7uwjduW9SVrLvRYooPp2bWYgmgJQIXwl/Sp' crossorigin='anonymous'>
        <!-- HTML5 shim and Respond.js for IE8 support of HTML5 elements and media queries -->
        <!-- WARNING: Respond.js doesn't work if you view the page via file:// -->
        <!--[if lt IE 9]>
          <script src="https://oss.maxcdn.com/html5shiv/3.7.3/html5shiv.min.js"></script>
          <script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
        <![endif]-->
    </head>
    <body>
        <div class='container'>
            <h1>info.debatty.jinu.Case</h1>
            <p>2017-07-26 07:16:19</p>
            <p>spark.kmedoids.eval.spam.TestCase : -r Dropbox/eurecom-cluster/results/ -d spam-subject-100K.txt -s 100000000 -s 200000000 -s 300000000</p>
            <p>Iterations: 20</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.spam.ClaransTest</li>
                                    <li>spark.kmedoids.eval.spam.HeuristicTest</li>
                                    <li>spark.kmedoids.eval.spam.SimulatedAnnealingTest</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100599-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 10923</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>64948.31083138633</td>
                                                <td>59631</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>65100.782022089006</td>
                                                <td>54272</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>65248.96093254484</td>
                                                <td>59021</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>65283.44721670821</td>
                                                <td>55570</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>65202.19064861649</td>
                                                <td>56156</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>64565.06479130042</td>
                                                <td>62607</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>64484.75090500768</td>
                                                <td>62591</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>65217.46223349284</td>
                                                <td>59672</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>64841.21486464272</td>
                                                <td>64532</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>65505.53466843432</td>
                                                <td>67725</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>64958.38604341115</td>
                                                <td>61608</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>64865.446306231635</td>
                                                <td>63737</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>65352.12117636188</td>
                                                <td>65909</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>64931.18278872386</td>
                                                <td>68869</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>65436.90168035192</td>
                                                <td>60724</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>64883.60315634979</td>
                                                <td>64642</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>65276.618766269545</td>
                                                <td>60821</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>64832.122996336824</td>
                                                <td>57971</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>64880.531975828715</td>
                                                <td>68513</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>1.0E8</td>
                                                    <td>64979.16068808328</td>
                                                <td>65611</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65773.9773155624</td>
                                                <td>101369</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65857.64662866679</td>
                                                <td>107979</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65523.6657360647</td>
                                                <td>106924</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65635.72295942114</td>
                                                <td>111178</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65642.52210287722</td>
                                                <td>97699</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65737.35110603421</td>
                                                <td>103641</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65330.78481558984</td>
                                                <td>118743</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65428.21181980314</td>
                                                <td>120980</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65681.95139966166</td>
                                                <td>116331</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65288.00405054423</td>
                                                <td>116489</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65674.66486926473</td>
                                                <td>114970</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65339.88714906256</td>
                                                <td>121774</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65402.773493065724</td>
                                                <td>105390</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65252.299797480395</td>
                                                <td>119676</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65393.58494608494</td>
                                                <td>117752</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65423.19149017571</td>
                                                <td>113486</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65602.21933768458</td>
                                                <td>108596</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>66049.75806562779</td>
                                                <td>110543</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65439.44671642108</td>
                                                <td>159894</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>2.0E8</td>
                                                    <td>65468.65477730165</td>
                                                <td>108394</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65451.165348860464</td>
                                                <td>161226</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65428.56085001487</td>
                                                <td>155731</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>66125.07300035919</td>
                                                <td>150322</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65790.2922781844</td>
                                                <td>159874</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65633.94132893495</td>
                                                <td>160233</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65719.90191663623</td>
                                                <td>151360</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65491.43398538591</td>
                                                <td>178933</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65540.25438560304</td>
                                                <td>170489</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65659.14619745518</td>
                                                <td>158233</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65321.93382337273</td>
                                                <td>179728</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65792.56906917697</td>
                                                <td>157839</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65921.81236118067</td>
                                                <td>168059</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65800.33240067188</td>
                                                <td>165430</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65596.86073241686</td>
                                                <td>172774</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65469.91516404215</td>
                                                <td>175669</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65533.89503361306</td>
                                                <td>168184</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65731.99056456382</td>
                                                <td>168739</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65648.41404817751</td>
                                                <td>172746</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65803.39528438485</td>
                                                <td>176536</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.ClaransTest</td>
                        <td>3.0E8</td>
                                                    <td>65546.48983851468</td>
                                                <td>158108</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65650.40340090307</td>
                                                <td>157873</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65316.97348298875</td>
                                                <td>153265</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65950.86087300771</td>
                                                <td>163756</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65334.31840325213</td>
                                                <td>152015</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65893.35035716582</td>
                                                <td>157190</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65761.9658409751</td>
                                                <td>161007</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65535.83376300907</td>
                                                <td>157918</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65852.5869761694</td>
                                                <td>178654</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65689.99946191016</td>
                                                <td>181338</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65682.7767204792</td>
                                                <td>172240</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65562.96823491745</td>
                                                <td>167663</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>66062.2597461806</td>
                                                <td>169979</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65549.70405949044</td>
                                                <td>198947</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65931.88279899089</td>
                                                <td>177604</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>66173.9454539303</td>
                                                <td>169977</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>66015.60911360367</td>
                                                <td>165387</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65640.07458313245</td>
                                                <td>161684</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>66112.05539544566</td>
                                                <td>155584</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65723.93535528958</td>
                                                <td>165091</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>3.0E8</td>
                                                    <td>65666.90267457478</td>
                                                <td>165552</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>65291.647166535666</td>
                                                <td>58070</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>64795.514324300864</td>
                                                <td>58661</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>64152.665480482705</td>
                                                <td>54053</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>65358.625787617944</td>
                                                <td>56524</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>65537.14799433436</td>
                                                <td>59871</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>65440.717980335685</td>
                                                <td>61201</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>65441.921890070465</td>
                                                <td>66301</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>65332.41072056678</td>
                                                <td>68506</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>65643.37919248904</td>
                                                <td>63548</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>65112.91633570769</td>
                                                <td>62466</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>64934.84695740754</td>
                                                <td>59182</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>64628.60006045473</td>
                                                <td>62787</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>64620.13161708069</td>
                                                <td>64542</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>64988.12429319088</td>
                                                <td>58993</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>65024.93408236513</td>
                                                <td>59160</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>64706.00148559958</td>
                                                <td>63673</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>64865.99914630821</td>
                                                <td>65555</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>65047.44907619412</td>
                                                <td>69716</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>65292.168630133674</td>
                                                <td>60765</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>1.0E8</td>
                                                    <td>65181.42496489308</td>
                                                <td>63896</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65920.91486867571</td>
                                                <td>111140</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65529.30343129063</td>
                                                <td>110992</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65951.51986063903</td>
                                                <td>107554</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65142.763425526886</td>
                                                <td>149953</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65181.450431702506</td>
                                                <td>109160</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>64884.98797332178</td>
                                                <td>108538</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65624.36738313384</td>
                                                <td>122234</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>64978.72718287901</td>
                                                <td>118777</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65225.63699905332</td>
                                                <td>120012</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65512.491538161994</td>
                                                <td>115567</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65661.97992312297</td>
                                                <td>103609</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65392.19931598843</td>
                                                <td>111133</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>64965.53656669851</td>
                                                <td>126419</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65485.2258004502</td>
                                                <td>116845</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65331.10109509775</td>
                                                <td>115125</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65216.29631322191</td>
                                                <td>118003</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65505.6018943755</td>
                                                <td>114982</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65468.41495860614</td>
                                                <td>127897</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65244.59470778618</td>
                                                <td>108313</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>65336.409827822215</td>
                                                <td>98866</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>65265.85620372962</td>
                                                <td>60902</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>64897.92864125504</td>
                                                <td>57504</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>65095.51679872279</td>
                                                <td>58673</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>65026.2616546738</td>
                                                <td>59070</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>65379.605638328365</td>
                                                <td>70306</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>65539.97091327191</td>
                                                <td>64110</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>65579.8034348085</td>
                                                <td>70859</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>65077.9506677233</td>
                                                <td>65731</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>65198.576580867346</td>
                                                <td>67452</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>64820.165765645135</td>
                                                <td>66390</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>64963.896556920394</td>
                                                <td>60693</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>65113.68931501596</td>
                                                <td>61035</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>65034.29660243017</td>
                                                <td>63423</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>64763.260128353984</td>
                                                <td>62784</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>64762.74570224026</td>
                                                <td>60276</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>65085.85663955353</td>
                                                <td>61906</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>64946.13427194256</td>
                                                <td>64775</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>65082.42493050066</td>
                                                <td>62295</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>64940.841185941244</td>
                                                <td>61339</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>65183.94119158837</td>
                                                <td>59073</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65695.41324425572</td>
                                                <td>107675</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65690.32031522837</td>
                                                <td>112240</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65391.13894065397</td>
                                                <td>104115</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65601.14503232163</td>
                                                <td>108708</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65549.03358208362</td>
                                                <td>155770</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65794.78550819578</td>
                                                <td>150230</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65533.37998345728</td>
                                                <td>128628</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65467.29726234105</td>
                                                <td>125478</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65068.518235842115</td>
                                                <td>131444</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65597.29014645003</td>
                                                <td>114275</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65621.93795457196</td>
                                                <td>119098</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65170.6948119089</td>
                                                <td>123460</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65334.06020509587</td>
                                                <td>107835</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65824.7363876912</td>
                                                <td>110324</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65743.6002274136</td>
                                                <td>104146</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65224.744606942855</td>
                                                <td>110186</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65487.7137753721</td>
                                                <td>113002</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65484.184762058074</td>
                                                <td>131898</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65321.974673436</td>
                                                <td>128592</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                        <td>2.0E8</td>
                                                    <td>65914.8778474458</td>
                                                <td>109472</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65778.24628445656</td>
                                                <td>156166</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65323.0387206205</td>
                                                <td>153784</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65548.03941985726</td>
                                                <td>152364</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65822.28269865079</td>
                                                <td>155729</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65794.51312743533</td>
                                                <td>157020</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>66053.93602248457</td>
                                                <td>158354</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65667.92627216535</td>
                                                <td>193293</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65424.55127187516</td>
                                                <td>190463</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65768.9217847561</td>
                                                <td>183224</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65984.6078593663</td>
                                                <td>168001</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65458.87459183958</td>
                                                <td>174529</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65765.92492032588</td>
                                                <td>165564</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65435.55488321052</td>
                                                <td>168304</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65446.47618818435</td>
                                                <td>176816</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65794.46128310461</td>
                                                <td>154847</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65469.723977554844</td>
                                                <td>154693</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65621.02283732961</td>
                                                <td>166922</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65500.53618729629</td>
                                                <td>184935</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65798.70397259244</td>
                                                <td>164589</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                        <td>3.0E8</td>
                                                    <td>65467.99217030882</td>
                                                <td>150692</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>mean</td>
                                                            <td>65039.68973460857</td>
                                                        <td>62009.100000000006</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>std dev</td>
                                                            <td>273.3463863839025</td>
                                                        <td>4244.824190767658</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>low</td>
                                                            <td>64911.75968783807</td>
                                                        <td>60022.46112600096</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>high</td>
                                                            <td>65167.619781379064</td>
                                                        <td>63995.73887399905</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>65547.31592881973</td>
                                                        <td>114090.4</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>208.65124810043343</td>
                                                        <td>12712.299309185406</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>65449.66413879123</td>
                                                        <td>108140.86078457921</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>65644.96771884823</td>
                                                        <td>120039.93921542077</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>3.0E8</td>
                            <td>mean</td>
                                                            <td>65650.36888057749</td>
                                                        <td>165510.65000000002</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>3.0E8</td>
                            <td>std dev</td>
                                                            <td>190.63583909387054</td>
                                                        <td>8980.041884060096</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>3.0E8</td>
                            <td>low</td>
                                                            <td>65561.1485615016</td>
                                                        <td>161307.8610280056</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.ClaransTest</td>
                            <td>3.0E8</td>
                            <td>high</td>
                                                            <td>65739.58919965338</td>
                                                        <td>169713.43897199444</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>3.0E8</td>
                            <td>mean</td>
                                                            <td>65755.42033477082</td>
                                                        <td>166636.2</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>3.0E8</td>
                            <td>std dev</td>
                                                            <td>240.82096046978108</td>
                                                        <td>11253.129083433689</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>3.0E8</td>
                            <td>low</td>
                                                            <td>65642.71265590309</td>
                                                        <td>161369.57347165004</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>3.0E8</td>
                            <td>high</td>
                                                            <td>65868.12801363856</td>
                                                        <td>171902.82652834998</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>mean</td>
                                                            <td>65069.83135930345</td>
                                                        <td>61873.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>std dev</td>
                                                            <td>370.1590855679328</td>
                                                        <td>3975.251445208412</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>low</td>
                                                            <td>64896.59157459043</td>
                                                        <td>60013.02505450085</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>high</td>
                                                            <td>65243.07114401647</td>
                                                        <td>63733.97494549915</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>65377.97617487773</td>
                                                        <td>115755.95</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>288.3548939856002</td>
                                                        <td>10817.834667441784</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>65243.02193033078</td>
                                                        <td>110693.04752936838</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>65512.93041942468</td>
                                                        <td>120818.85247063161</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>mean</td>
                                                            <td>65087.936141175654</td>
                                                        <td>62929.8</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>std dev</td>
                                                            <td>225.72543942778668</td>
                                                        <td>3725.271033587249</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>low</td>
                                                            <td>64982.293383627984</td>
                                                        <td>61186.319488462344</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>high</td>
                                                            <td>65193.578898723325</td>
                                                        <td>64673.28051153766</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>65525.8423751383</td>
                                                        <td>119828.8</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>225.4686154011881</td>
                                                        <td>14564.14835206826</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>65420.31981493499</td>
                                                        <td>113012.5687539951</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>65631.36493534161</td>
                                                        <td>126645.0312460049</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>3.0E8</td>
                            <td>mean</td>
                                                            <td>65646.26672367073</td>
                                                        <td>166514.45</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>3.0E8</td>
                            <td>std dev</td>
                                                            <td>204.37510251386868</td>
                                                        <td>13294.979355004656</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>3.0E8</td>
                            <td>low</td>
                                                            <td>65550.6162313807</td>
                                                        <td>160292.2081288024</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.spam.SimulatedAnnealingTest</td>
                            <td>3.0E8</td>
                            <td>high</td>
                                                            <td>65741.91721596077</td>
                                                        <td>172736.69187119763</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 1.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.spam.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.spam.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.spam.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.spam.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.5465103131917105</td>
                                                                            <td>0.7712963158455723</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.spam.HeuristicTest</th>
                                                                            <td>0.5465103131917105</td>
                                                                            <td>1.0</td>
                                                                            <td>0.8530562521211167</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.spam.SimulatedAnnealingTest</th>
                                                                            <td>0.7712963158455723</td>
                                                                            <td>0.8530562521211167</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 2.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.spam.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.spam.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.spam.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.spam.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.7562986385407752</td>
                                                                            <td>0.040560896482609986</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.spam.HeuristicTest</th>
                                                                            <td>0.7562986385407752</td>
                                                                            <td>1.0</td>
                                                                            <td>0.07921401257730888</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.spam.SimulatedAnnealingTest</th>
                                                                            <td>0.040560896482609986</td>
                                                                            <td>0.07921401257730888</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 3.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.spam.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.spam.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.spam.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.spam.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.13483366613657122</td>
                                                                            <td>0.9480099798787464</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.spam.HeuristicTest</th>
                                                                            <td>0.13483366613657122</td>
                                                                            <td>1.0</td>
                                                                            <td>0.1307341783392426</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.spam.SimulatedAnnealingTest</th>
                                                                            <td>0.9480099798787464</td>
                                                                            <td>0.1307341783392426</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.spam.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.spam.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.spam.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
        </div><!-- container -->
    </body>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/3.1.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js" integrity="sha384-Tc5IQib027qvyjSMfHjOMaLkfuWVxZxUPnCJA7l2mCWNIpG9mGCD8wGNIcPD7Txa" crossorigin="anonymous"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.4.0/Chart.min.js"></script>
    <script>
        // Common stuff
        var datasets, title;
        var dynamicColor = function() {
            var r = Math.floor(Math.random() * 255);
            var g = Math.floor(Math.random() * 255);
            var b = Math.floor(Math.random() * 255);
            return "rgb(" + r + "," + g + "," + b + ")";
        };

                datasets = [{"label":"SimulatedAnnealingTest","data":[{"x":1.0E8,"y":65069.83135930345},{"x":2.0E8,"y":65377.97617487773},{"x":3.0E8,"y":65646.26672367073}]},{"label":"HeuristicTest","data":[{"x":1.0E8,"y":65087.936141175654},{"x":2.0E8,"y":65525.8423751383},{"x":3.0E8,"y":65755.42033477082}]},{"label":"ClaransTest","data":[{"x":1.0E8,"y":65039.68973460857},{"x":2.0E8,"y":65547.31592881973},{"x":3.0E8,"y":65650.36888057749}]}];
        title = "20170726071619 - r0";

        $.each(datasets, function(index, dataset) {
            var color = dynamicColor();
            dataset.pointBackgroundColor = color;
            dataset.pointBorderColor = color;
            dataset.borderColor = color;
            dataset.tension = 0;

        });

        new Chart($("#chart_0"), {
            type: 'line',
            data: {
                datasets: datasets
            },
            options: {
                title: {
                    display: true,
                    text: title
                },
                scales: {
                    xAxes: [{
                        type: 'linear',
                        position: 'bottom'
                    }]
                }
            }
        });
        
        // Runtime
        datasets = [{"label":"SimulatedAnnealingTest","data":[{"x":1.0E8,"y":61873.5},{"x":2.0E8,"y":115755.95},{"x":3.0E8,"y":166514.45}]},{"label":"HeuristicTest","data":[{"x":1.0E8,"y":62929.8},{"x":2.0E8,"y":119828.8},{"x":3.0E8,"y":166636.2}]},{"label":"ClaransTest","data":[{"x":1.0E8,"y":62009.100000000006},{"x":2.0E8,"y":114090.4},{"x":3.0E8,"y":165510.65000000002}]}];
        title = "20170726071619 - time";

        $.each(datasets, function(index, dataset) {
            var color = dynamicColor();
            dataset.pointBackgroundColor = color;
            dataset.pointBorderColor = color;
            dataset.borderColor = color;
            dataset.tension = 0;

        });

        new Chart($("#chart_time"), {
            type: 'line',
            data: {
                datasets: datasets
            },
            options: {
                title: {
                    display: true,
                    text: title
                },
                scales: {
                    xAxes: [{
                        type: 'linear',
                        position: 'bottom'
                    }]
                }
            }
        });
    </script>
</html>
